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class ngraph::pass::low_precision::AlignQuantizationParameters

Overview

AlignQuantizationParameters transformation marks precision preserved operations subgraph by QuantizationAlignmentAttribute attribute after FakeQuantize operations. More…

#include <align_quantization_parameters.hpp>

class AlignQuantizationParameters: public ov::pass::ModelPass
{
public:
    // construction

    AlignQuantizationParameters(const std::vector<ngraph::element::Type> defaultPrecisions = ngraph::pass::low_precision::precision_set::int8_support);

    // methods

    OPENVINO_RTTI("AlignQuantizationParameters", "0");
    bool run_on_model(const std::shared_ptr<ngraph::Function>& m);
};

Inherited Members

public:
    // typedefs

    typedef DiscreteTypeInfo type_info_t;

    // methods

    bool get_property(const PassPropertyMask& prop_mask) const;
    void set_name(const std::string& name);
    std::string get_name() const;
    void set_callback(const param_callback& callback);
    virtual void set_pass_config(const std::shared_ptr<PassConfig>& pass_config);
    std::shared_ptr<PassConfig> get_pass_config();
    bool m_transformation_callback(const std::shared_ptr<const Node>& node);
    bool transformation_callback(const std::shared_ptr<const Node>& node);
    virtual const type_info_t& get_type_info() const = 0;
    OPENVINO_RTTI("ov::pass::ModelPass");
    virtual bool run_on_function(std::shared_ptr<ov::Model> m);
    virtual bool run_on_model(const std::shared_ptr<ov::Model>& m);

Detailed Documentation

AlignQuantizationParameters transformation marks precision preserved operations subgraph by QuantizationAlignmentAttribute attribute after FakeQuantize operations.

For more details about the transformation, refer to AlignQuantizationParameters page in the Inference Engine Developer Guide.